Use Python for Analyzing Visualizing and Presenting Data: Use Python for Analyzing, Visualizing and Presenting Data

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Setup

1. Installation Setup and Overview
7m
2. IDEs and Course Resources
11m
3. iPython/Jupyter Notebook Overview
15m

Learning Numpy

1. Creating arrays
7m
2. Using arrays and scalars
5m
3. Indexing Arrays
14m
4. Array Transposition
4m
5. Universal Array Function
6m
6. Array Processing
22m
7. Array Input and Output
8m

Intro to Pandas

1. Series
14m
2. DataFrames
18m
3. Index objects
5m
4. Reindex
16m
5. Drop Entry
6m
6. Selecting Entries
10m
7. Data Alignment
10m
8. Rank and Sort
6m
9. Summary Statistics
23m
10. Missing Data
12m
11. Index Hierarchy
14m

Working with Data: Part 1

1. Reading and Writing Text Files
10m
2. JSON with Python
4m
3. HTML with Python
5m
4. Microsoft Excel files with Python
4m

Working with Data: Part 2

1. Merge
21m
2. Merge on Index
13m
3. Concatenate
9m
4. Combining DataFrames
10m
5. Reshaping
8m
6. Pivoting
6m
7. Duplicates in DataFrames
6m
8. Mapping
4m
9. Replace
3m
10. Rename Index
6m
11. Binning
6m
12. Outliers
7m
13. Permutation
5m

Working with Data: Part 3

1. GroupBy on DataFrames
18m
2. GroupBy on Dict and Series
13m
3. Aggregation
13m
4. Splitting Applying and Combining
10m
5. Cross Tabulation
5m

Data Visualization

1. Installing Seaborn
2m
2. Histograms
9m
3. Kernel Density Estimate Plots
26m
4. Combining Plot Styles
6m
5. Box and Violin Plots
9m
6. Regression Plots
19m
7. Heatmaps and Clustered Matrices
17m

Example Projects.

1. Data Projects Preview
3m
2. Intro to Data Projects
5m
3. Titanic Project - Part 1
17m
4. Titanic Project - Part 2
16m
5. Titanic Project - Part 3
16m
6. Titanic Project - Part 4
2m
7. Intro to Data Project - Stock Market Analysis
3m
8. Data Project - Stock Market Analysis Part 1
11m
9. Data Project - Stock Market Analysis Part 2
18m
10. Data Project - Stock Market Analysis Part 3
10m
11. Data Project - Stock Market Analysis Part 4
7m
12. Data Project - Stock Market Analysis Part 5
28m
13. Data Project - Intro to Election Analysis
2m
14. Data Project - Election Analysis Part 1
18m
15. Data Project - Election Analysis Part 2
21m
16. Data Project - Election Analysis Part 3
15m
17. Data Project - Election Analysis Part 4
26m

Machine Learning

1. Introduction to Machine Learning with SciKit Learn
13m
2. Linear Regression Part 1
18m
3. Linear Regression Part 2
18m
4. Linear Regression Part 3
19m
5. Linear Regression Part 4
22m
6. Logistic Regression Part 1
14m
7. Logistic Regression Part 2
14m
8. Logistic Regression Part 3
12m
9. Logistic Regression Part 4
22m
10. Multi Class Classification Part 1 - Logistic Regression
19m
11. Multi Class Classification Part 2 - k Nearest Neighbor
23m
12. Support Vector Machines Part 1
13m
13. Support Vector Machines - Part 2
29m
14. Naive Bayes Part 1
10m
15. Naive Bayes Part 2
12m
16. Decision Trees and Random Forests
32m
17. Natural Language Processing Part 1
7m
18. Natural Language Processing Part 2
16m
19. Natural Language Processing Part 3
21m
20. Natural Language Processing Part 4
16m

Appendix: Statistics Overview

1. Intro to Appendix B
3m
2. Discrete Uniform Distribution
6m
3. Continuous Uniform Distribution
7m
4. Binomial Distribution
13m
5. Poisson Distribution
11m
6. Normal Distribution
6m
7. Sampling Techniques
5m
8. T-Distribution
5m
9. Hypothesis Testing and Confidence Intervals
20m
10. Chi Square Test and Distribution
3m
11. Bayes Theorem
10m

Appendix: SQL and Python

1. Introduction to SQL with Python
10m
2. SQL - SELECT,DISTINCT,WHERE,AND & OR
10m
3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions
8m

Appendix: Web Scraping with Python

1. Web Scraping Part 1
12m
2. Web Scraping Part 2
12m

Appendix: Python Special Offers

1. Python Overview Part 1
19m
2. Python Overview Part 2
12m
3. Python Overview Part 3
10m